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Companies Using AI to Drive Competitive Advantage

 

In 2025, while the most discussed opportunities in artificial intelligence (AI) may lie with companies building the infrastructure, such as semiconductors or data centres, the businesses integrating AI into their core operations to unlock productivity, reduce costs, improve customer experience, and develop entirely new business models are equally, if not more, intriguing to explore.

From healthcare to retail, logistics to financial services, AI adoption is reshaping industries. Companies that harness its capabilities early and effectively may achieve significant long-term value creation.

This article explores examples of listed companies applying AI, how they are doing it, and which industries are likely to benefit first. This shift in focus, from infrastructure to application, offers a different lens to apply when assessing companies and their potential uplift in valuation.

 

Companies Using AI to Enhance Their Core Operations

Amazon (NASDAQ: AMZN)
Amazon is arguably the global benchmark in applied AI. From personalised product recommendations to warehouse robotics and supply chain optimisation, AI permeates almost every layer of its operations.

  • AI in Fulfilment: Amazon’s fulfilment centres now use advanced robotics powered by machine learning to optimise item picking and packing. This has dramatically reduced error rates and fulfilment times.
  • Customer Personalisation: Its recommendation engine, based on deep learning models, reportedly drives 35% of Amazon’s total revenue.
  • Logistics Optimisation: Amazon uses AI to predict product demand, adjust pricing dynamically, and optimise delivery routes in real time.

Takeaway: Amazon’s integrated AI capabilities allow it to maintain tight margins and aggressive pricing while scaling globally. It exemplifies how operational AI deployment translates directly into competitive advantage.

 

CSL Limited (ASX: CSL)
Melbourne-based biotech giant CSL has adopted AI to accelerate drug discovery and improve patient outcomes, especially through its Seqirus vaccine and plasma therapies.

  • Drug Development: AI models are used to simulate how new compounds might interact with diseases, reducing the need for lengthy trial-and-error phases in the lab.
  • Operational Efficiency: AI is also being used to forecast demand for blood plasma products, reducing wastage and ensuring better global supply alignment.

Takeaway: CSL’s use of AI in R&D has the potential to bring therapies to market faster and at lower cost, protecting its leading position in immunology and rare diseases.

 

Commonwealth Bank of Australia (ASX: CBA)
Among Australian banks, CBA is widely regarded as the leader in AI adoption.

  • Customer Service: Its virtual assistant, “Ceba,” handles over 1 million customer enquiries each month using natural language processing (NLP).
  • Fraud Detection: CBA uses AI to monitor real-time transaction data and detect unusual spending patterns, significantly reducing fraud losses.
  • Lending Risk Models: Machine learning is used to assess loan risk and personalise credit offerings, enhancing customer targeting while reducing default rates.

Takeaway: CBA’s investment in AI positions it as a cost leader among its peers while improving service delivery, key drivers of long-term profitability in a margin-sensitive sector.

Woolworths Group (ASX: WOW)
As Australia’s largest supermarket chain, Woolworths is leveraging AI to improve everything from shelf stocking to customer loyalty.

  • Demand Forecasting: AI is used to analyse weather patterns, local events, and historical sales data to predict product demand at the store level.
  • Smart Shelf Management: Sensors combined with AI identify stockouts or misplaced items in real time.
  • Loyalty and Marketing: Woolworths’ Everyday Rewards program uses AI to segment customers and tailor discounts with precision.

Takeaway: In a low-margin retail environment, AI provides Woolworths with a powerful tool to minimise wastage and enhance customer retention.

 

Netflix (NASDAQ: NFLX)
Netflix’s success in the crowded streaming market is closely tied to its application of AI.

  • Personalised Content: Its recommendation system is powered by AI models that analyse viewer behaviour, increasing user engagement and reducing churn.
  • Content Optimisation: Netflix uses AI to inform content acquisition and production decisions, choosing what to produce based on predicted audience preferences.
  • Bandwidth Efficiency: AI compresses and distributes video content more efficiently, reducing operating costs without compromising quality.

Takeaway: AI is a core differentiator that allows Netflix to operate efficiently at scale, maximising viewer lifetime value.

 

Industry Overview: Sectors Leveraging AI for Early Advantage

Financial Services
AI is transforming the financial services sector through automation, fraud prevention, and more tailored customer engagement.

  • Key Players: CBA, NAB, and Macquarie (in Australia); globally, JPMorgan Chase and Goldman Sachs.
  • Use Cases: Credit scoring, investment portfolio optimisation, AI-driven robo-advisers, AML (anti-money laundering) compliance.
  • Outlook: AI is expected to save global banks over $400 billion annually in operational costs by 2030 (McKinsey).

 

Healthcare & Biotechnology
AI is driving efficiency and innovation in healthcare delivery, diagnostics, and research.

  • Key Players: CSL (ASX), ResMed (ASX), Teladoc Health, UnitedHealth Group.
  • Use Cases: Diagnostic imaging, predictive analytics for patient risk, AI-assisted robotic surgery, and virtual care.
  • Outlook: The global healthcare AI market is forecast to grow at a CAGR of 41% through 2030, reaching $194 billion (Statista, 2025).

 

Retail & Consumer Services
Retailers are embracing AI to personalise experiences, improve logistics, and manage inventory.

  • Key Players: Woolworths, Wesfarmers (Kmart, Bunnings), Amazon, Walmart.
  • Use Cases: Chatbots, predictive stocking, visual search, smart checkout, and AI pricing engines.
  • Outlook: AI-driven personalisation can increase customer lifetime value by 20 to 30 percent for large-scale retailers.

 

Logistics and Transportation
AI is revolutionising how goods and people move.

  • Key Players: Qube Holdings (ASX), Aurizon, Amazon Logistics, FedEx.
  • Use Cases: Route optimisation, autonomous vehicle development, warehouse automation, AI-powered supply chain forecasting.
  • Outlook: AI could reduce logistics costs by 15 percent globally over the next five years, especially in last-mile delivery.

 

Media & Entertainment
Media firms are using AI to personalise user experiences and improve content distribution.

  • Key Players: Netflix, Spotify, Disney, Nine Entertainment (ASX).
  • Use Cases: Content recommendations, automated video editing, sentiment analysis on social media.
  • Outlook: AI-generated content is a growing sub-theme, with synthetic voice and deepfake production being tested for localisation and dubbing.

 

Companies across banking, healthcare, retail, and logistics are using AI to solve real problems, increase efficiency, and create stickier customer relationships. While the infrastructure layer will always matter, business owners and investors can benefit from assessing businesses currently embedding AI into their DNA.

Understanding market trends is essential when investing and identifying industry leaders. At Cadre Capital Partners, our Investment Committee continuously reviews these developments to ensure our portfolios remain aligned with innovation and emerging opportunities.